Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1841–1850 of 2042 papers

Title	Date	Tasks	Status
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning	Jun 19, 2018	General ClassificationObject Recognition	—Unverified
Deep Graph Reprogramming	Apr 28, 2023	3D Object RecognitionAction Recognition	—Unverified
DEEP HIERARCHICAL MODEL FOR HIERARCHICAL SELECTIVE CLASSIFICATION AND ZERO SHOT LEARNING	Sep 27, 2018	ClassificationObject Recognition	—Unverified
Deep Learning and Continuous Representations for Natural Language Processing	May 1, 2015	Deep LearningInformation Retrieval	—Unverified
Deep Learning and Music Adversaries	Jul 16, 2015	Deep LearningObject Recognition	—Unverified
Deep-learning-based classification and retrieval of components of a process plant from segmented point clouds	Dec 13, 2019	General ClassificationObject Recognition	—Unverified
Deep learning based infrared small object segmentation: Challenges and future directions	Feb 20, 2025	Autonomous VehiclesObject Recognition	—Unverified
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery	Jun 3, 2017	Data AugmentationObject Recognition	—Unverified
Deep Learning for Material recognition: most recent advances and open challenges	Dec 14, 2020	Deep LearningMaterial Recognition	—Unverified
Deep Learning for the Classification of Lung Nodules	Nov 21, 2016	BIG-bench Machine LearningClassification	—Unverified

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified